3 papers
cs.IR2026
A Hybrid Retrieval and Reranking Framework for Evidence-Grounded Retrieval-Augmented Generation
Fariba Afrin Irany, Sampson Akwafuo
Retrieval-augmented generation (RAG) improves large language model reliability by grounding generated responses in external evidence. However, RAG performance depends on the releva…
cs.CL2026
Selective Fine-Tuning of GPT Architectures for Parameter-Efficient Clinical Text Classification
Fariba Afrin Irany, Sampson Akwafuo
The rapid expansion of electronic health record (EHR) systems has generated large volumes of unstructured clinical narratives that contain valuable information for disease identifi…
cs.MA2026
ARIES: A Scalable Multi-Agent Orchestration Framework for Real-Time Epidemiological Surveillance and Outbreak Monitoring
Aniket Wattamwar, Sampson Akwafuo
Global health surveillance is currently facing a challenge of Knowledge Gaps. While general-purpose AI has proliferated, it remains fundamentally unsuited for the high-stakes epide…